ThePhdCoach

Founder

Academic Research/Writing

Academic Researcher

DigiVersal Consultants

Trainer

Holycart

Co-Founder 

Freelancer

Mentor

Self-employed

Senior Subject Matter Expert

CHIMC

As an Assistant Professor at CHIMC I taught following subjects for MBA, PGDM and BBA courses:
Human Resource Management 
Organisational behavior
Business Process Transformation
Business Communication
Human Resource Development 
Strategic Management
Social Psychology
Entrepreneurship 
Linguistic Syntax
English 
During my tenure with the organisation I handled the additional responsibilities of :
#Course coordinator of BBA , MBA and PGDM. My responsibilities included managing time-table, scheduling lectures, assigning lectures, taking feedback from students, etc.
# Students' Placement Coordinator. My responsibilities included arranging placement opportunities ,talking to companies regarding placements, providing guidance to students , undertaking grooming sessions, etc.

Assistant Professor

I am an award-winning writer and former faculty member with more than 10 years of research experience.  As a PhD in Management and MBA, I have intense knowledge of research and Management subjects. I am the founder of thephdcoach academic writing services, where I specialize in helping scared and stuck students and scholars free themselves from that fear and create a sustainable and satisfying writing practice. I am on a mission to help students achieve good grades in Graduate, Post Graduate and PhD level. 

I have been leading academic and scholarly writing retreats since I was a faculty member in 2014, when I founded assignment writing retreats for International graduate and Masters students struggling to score good grades in their assignments. Two years later, I left academia and founded thephdcoach and since then I helped hundreds of students and scholars from a wide range of disciplines and countries to overcome their writing anxieties and develop more productive practices of writing. 

 As a research scholar, I have published a number of research papers, case studies and articles in distinguished International and National Journals.I have attended various workshops on faculty development and Research Methodology in renowned institutions of India.

I won various awards and accolades from International organisations like The International Association of Lions Clubs. Some of the most notable awards that I won are Female Leadership Award, Business leader in Education Award, Best District Treasurer Award and Grassroot Leo of the Year Award among others.

Systematic Literature Reviews (SLRs) are now at the centre of high–impact academic publishing, yet most scholars still struggle with how to plan, structure, and write them effectively.

Many SLRs get desk-rejected not because the topic is weak, but because the approach is unstructured, the synthesis is shallow, and the methodology lacks transparency.

That’s why I’m sharing this comprehensive chapter:
 “How to Plan and Write for Systematic Literature Review Papers in Management Domain.”

It breaks down:
The difference between traditional reviews and SLRs
9 types of review approaches (structured, framework-based, bibliometric, meta-analysis, etc.)
How to define research questions that truly justify an SLR
Step-by-step planning: criteria, databases, keywords, PRISMA
How to synthesize instead of summarize
How to build tables, frameworks, and future research agendas
Common mistakes that lead to desk rejections
What top journals expect from a high-quality SLR

If you're a PhD scholar, researcher, or academic writer, this is the kind of clarity and structure that will transform the way you approach SLRs.
SLRs are not about collecting papers.

 They’re about creating knowledge with rigor, logic, transparency, and contribution.

Save this. Study it. Use it.

 Your next publication may depend on it.

Dr.Tripti Chopra

Founder at ThePhdCoach | Research Mentor | Empowering Scholars to Save 10x Time in Research & Publishing

“I almost quit my PhD… not because it was hard, but because it felt meaningless.”

I didn’t drop out of my PhD because it was too tough.

 I almost dropped out because it stopped feeling worth it.
I had the perfect topic on paper.
 A supervisor I admired.
 A research gap that looked solid.
 And a plan that impressed everyone around me.

But a few months in…
 Something inside me shifted.
 Every new paper I read felt disconnected.
 Every paragraph I wrote felt forced.

 And for the first time in my academic life, I started asking,
 “Why am I even doing this?”
It wasn’t burnout.
 It was emptiness.

 My work felt like it existed only within the walls of my department.
 No real-world connection. No meaning. No spark.

I didn’t need a new supervisor or a new degree.
 I needed to rediscover my “why.”

🌱 How I found meaning again:
1. I revisited why I started my PhD.
 I reminded myself that I didn’t start this journey for a title or a publication.
 I started because I genuinely wanted to solve problems that matter.
 Once I reconnected with that purpose, my motivation began to rebuild.

2. I connected my research to real-world impact.
 I began asking:
 “How does this topic help people beyond academia?”
 That single question reshaped the direction of my study.
 When I saw how my research could improve practice, not just theory, the energy came back.

3. I talked to people outside academia.
 I explained my work to friends, family, and professionals in other fields.
 Their reactions helped me see where my research resonated.
 It reminded me that knowledge has power only when it’s understood beyond the journals.

Research burnout doesn’t always come from working too hard.
 It often comes from working without meaning.

And meaning doesn’t come from your supervisor, your topic, or your university.
 It comes from you, your purpose, your “why,” and your ability to connect your work to life beyond your thesis.

 If you’re stuck in research fatigue, don’t change your topic just yet.
 Revisit your why.
It’s your best source of motivation and the compass that’ll carry you to the finish line.


✍️ I’m Dr. Tripti Chopra, Founder of The PhD Coach.
 I help researchers and scholars use AI tools, structure their research, and reconnect with the meaning behind their academic work.
🔔 Follow me for more frameworks, mindset shifts, and real stories that make research feel purposeful again.

Theoretical Framework vs. Conceptual Framework, Why Researchers Must Know the Difference

One of the most common mistakes I see in thesis proposals, PhD synopses, and journal submissions is this:
 Researchers use “theoretical framework” and “conceptual framework” interchangeably.

But the truth is, they serve very different purposes.

After mentoring thousands of researchers and reviewing hundreds of MPhil/PhD manuscripts, I can confidently say that understanding this single distinction can dramatically improve the clarity, rigor, and acceptance rate of your research.
Here’s the simplest, clearest explanation you will ever need 

What is a Theoretical Framework?
Think of it as the intellectual backbone of your study.
 It is built on existing theories that have been tested, critiqued, refined, and accepted by scholars.
You don’t invent it —
 you adopt it to position your study within the right academic tradition.
A strong theoretical framework shows:
the scholarly roots of your study
the debates you are contributing to
the theoretical lens you will use to interpret results
It answers the question:
 “What body of knowledge does my study belong to?”

What is a Conceptual Framework?
This is your own constructed model, your interpretation of how variables or concepts in your study interact.
It is not borrowed.
 It is designed by you based on:
existing literature
identified gaps
the problem you want to solve
the variables you are investigating
A conceptual framework shows the logical flow of your study.
 It answers the question:
 👉 “How does my study work?”

Why They Are NOT the Same
✔ Theoretical framework = established theories
 ✔ Conceptual framework = your customized model
✔ Theoretical framework explains why
 ✔ Conceptual framework explains how
✔ Theoretical framework predicts outcomes
 ✔ Conceptual framework maps relationships
✔ Theoretical framework is adopted
 ✔ Conceptual framework is constructed

Why This Matters for Your Research
Understanding this difference helps you:
write a clearer Chapter 2 and Chapter 3
design a more structured methodology
explain your model confidently in a viva
avoid revision requests in journal submissions
build a solid foundation for your findings
Most importantly, it shows reviewers that you know exactly what you are doing.

Final Takeaway
Theoretical Framework = the lens you borrow
 Conceptual Framework = the map you create

Both are essential.
 Both make your research stronger.
 But they are not interchangeable.

Last week during my session, a researcher asked me a question that most PhD scholars secretly struggle with:

“Dr. Tripti, how should we actually read a research paper?”

It sounds simple, but it’s one of the most critical skills in research.
 Because let’s be honest, most of us read papers the wrong way: line by line, word by word, getting lost halfway through and retaining almost nothing.

So here’s the secret trick I shared 
🔹 Don’t start from the beginning.
 Reading isn’t about following the pape, it’s about following the author’s logic.

Here’s how I teach my scholars to read any paper in under 15 minutes:
 1️⃣Read the Abstract — what problem are they solving?
 2️⃣ Jump to the Conclusion — what did they find?
 3️⃣ Skim Figures & Tables — how did they find it?
 4️⃣ Then go back to the Introduction & Discussion — why does it matter?

This 4-step method transforms confusion into clarity.

 You stop “collecting” papers — and start connecting them.
And if you pair this with AI tools like Scholarcy or SciSpace, you can extract insights, compare studies, and build a critical review 10x faster — without compromising authenticity.

Because reading a paper isn’t about memorizing.
 It’s about mapping minds — one idea at a time.

------------------------------------------------------------------------
 Dr. Tripti Chopra
 PhD | MBA | Founder – The PhD Coach
 Helping scholars master AI tools, academic writing, and publication ethics in the age of digital research. DM for trainings and Webinars.

Read papers

Struggling to Identify a Research Gap?
Here’s the 4-Step Method Top Researchers Use (And It Takes Minutes Not Months!)

One of the biggest challenges scholars face is not the writing… but finding a clear, defensible research gap.

 Most researchers spend weeks reading 30–50 papers, highlighting PDFs, and still feeling unsure about what hasn’t been studied.

But with the right system, identifying research gaps becomes structured, fast, and incredibly accurate.

Here’s the 4-step method that makes the entire process easier: https://lnkd.in/dhrZH6SJ

🟦 Step 1: Search Your Topic Intelligently
Start broad. Enter your topic (e.g., Digital Marketing, HR Analytics, Sustainability).
 Most researchers get stuck here because they don’t know where or how to begin.
A structured topic search sets the foundation for a meaningful review.
🟦 Step 2: Auto-Extract Abstracts (Stop Reading 50 PDFs)
Instead of manually opening every paper, use tools that automatically extract abstracts for you.
 This alone eliminates 80% of the manual workload and allows you to see the essence of each study instantly.
Abstracts → tell you the purpose, method, scope, gaps and contributions at a glance.
🟦 Step 3: Auto-Identify Research Gaps
This is where most students struggle.
 A good tool or framework should help you identify gaps such as:
✔ Limited scope
 ✔ Missing variables
 ✔ Weak theoretical foundation
 ✔ Outdated context
 ✔ Methodology limitations
 ✔ Insufficient comparative analysis
When gaps appear column-wise, patterns become obvious which is EXACTLY what reviewers want to see.
🟦 Step 4: Compare Across Papers
Switch between papers → gaps start repeating → patterns emerge →
 Suddenly, your research gap becomes crystal clear.
This step turns confusion into clarity and helps you write a strong justification section for your thesis or research proposal.

 Why This Matters
Identifying a research gap is the heart of your study.
 If you get this right, everything else framework, objectives, methodology flows naturally.
This simple 4-step framework has helped:
🔹 PhD scholars finalize topics in days, not months
 🔹 Master’s students write stronger literature reviews
 🔹 Researchers publish in high-impact journals
 🔹 Academics teach research more effectively

Try it here :https://lnkd.in/dhrZH6SJ

AI in Academia: The Question That Every Faculty Should Be Asking

During my recent Faculty Development Program at MIT ADT University, Pune, a faculty member asked me a simple yet powerful question:
“Dr. Tripti, where do we draw the line between ethical and unethical use of AI in research?”

This question stayed with me, not because the answer is difficult, but because so few people are asking it.

As AI becomes deeply embedded in academic work, thesis writing, literature reviews, data analysis, and even publication workflows, the real challenge is no longer whether to use AI…
 It is how to use it responsibly.

Here’s what I shared with the faculty team:

Ethical AI use is when AI enhances your clarity, supports your thinking, improves structure, accelerates tasks, and helps you work smarter while keeping your intellectual contribution intact.
 Examples: brainstorming, paraphrasing your own ideas, checking coherence, summarizing your text, improving language, reference formatting, technical accuracy checks.

Unethical AI use is when AI replaces your thinking.
 Examples: generating full chapters, fabricating citations, producing invented data, copying AI-generated literature reviews, or submitting AI-written content as your original academic work.

The distinction is simple:
 AI should assist your research, not do your research.
I strongly believe every institution should start integrating conversations on AI ethics into teaching, assessments, and research supervision. Faculty awareness is the first step toward student awareness.

Grateful to MIT ADT Pune for hosting this insightful FDP and for the meaningful discussions with such forward-thinking educators. The enthusiasm and curiosity in the room reaffirmed why these dialogues are so important today.

Let’s continue building an academic ecosystem where AI accelerates research without compromising integrity.

Creating flowcharts used to take me forever, opening multiple tools, dragging shapes, adjusting arrows, and still ending up with a messy diagram. 

But now, thanks to AI, I can generate clean, professional, publication-ready flowcharts in just 3 minutes. And the best part?
 You only need to type a simple prompt. That’s it. No design skills. No templates. No trial-and-error : https://lnkd.in/dhrZH6SJ

Here’s exactly how I do it 👉
 1️⃣ Open AnswerThis → Diagram Generator
 2️⃣ Type a simple prompt like “Create a flowchart for sampling process/identification of research papers/data collection steps”
 3️⃣ Download your ready-made, perfectly aligned flowchart

Whether you’re a PhD scholar, researcher, professor, student, or academic writer, this tool will save you HOURS of work and make your thesis/presentation look much more professional.

I’ve personally tested it for:
 ✔️ Literature review workflows
 ✔️ Research methodology steps
 ✔️ Sampling techniques
 ✔️ Data analysis pipelines
 ✔️ Conceptual models


If you want to try the same tool I use daily, here’s the link:
 👉 https://lnkd.in/dhrZH6SJ
Try it once — you’ll never make a manual flowchart again.

“What’s that ONE AI tool you use every single day?”
I get this question almost every week, from PhD scholars, supervisors, professors, and even first-year researchers.
And honestly…
My answer has stopped surprising people now:
 I use AnswerThis every single day
Because it doesn’t just give answers, it supports my entire research workflow from idea to publication.
Here’s how my typical workflow looks using the tools you see in the screenshot:
1. Search Papers
I begin with Search Papers, a clean, distraction-free search across 285 million research papers.
No ads.
No irrelevant blogs.
Just solid, peer-reviewed research.
It instantly shows me the landscape of a topic and helps me understand:
✔ What’s trending
✔ What researchers are focusing on
✔ What gaps still exist
2. Literature Review Tool
Once I identify the right papers, I move to the Literature Review tool.
This is where magic happens:
It summarises complex papers, highlights key findings, identifies methodologies, and even structures themes.
This helps me sketch a quick literature review outline within minutes — something that used to take hours of scrolling through PDFs.
Try here: https://lnkd.in/dhrZH6SJ
 3. Citation Map
Next, I open the Citation Map.
If you're a serious researcher, this is GOLD.
It visualises:
✔ Who cited whom
✔ How ideas evolved
✔ Which authors formed the foundation
✔ Which papers are central to the topic
This is how I understand the “brain” of a research field — not just its “text.”
4. Chat with PDF
Then comes my favourite part.
I upload the PDFs and ask questions like:
• “What methodology did they use?”
• “How is this different from X author?”
• “Extract definitions of variable Y.”
• “Summarise limitations only.”
This tool saves me from the pain of reading 50-page papers line by line.
Try here: https://lnkd.in/dhrZH6SJ
5. AI Writer
Once I have clarity, I move to AI Writer.
Not to write the final draft — but to:
✔ Generate structure
✔ Draft sections
✔ Organise ideas
✔ Avoid blank-page anxiety
✔ Reduce repetitive academic phrasing
It’s like having a research assistant who works super-fast but still listens to you.
📤 6. Extract Data
If I’m working with large PDFs or multiple documents, the Extract Data tool helps me pull:
✔ Tables
✔ Key statements
✔ Results
✔ Definitions
✔ Citations
A task that used to take 5 hours now takes 5 minutes.
 7. Diagram Generator
And finally, when I need diagrams (conceptual frameworks, workflows, processes), the Diagram Generator turns my text into clean, ready-to-use visuals.
Perfect for:
✔ Research papers
✔ Presentations
✔ Thesis chapters
✔ Conference posters
Try here: https://lnkd.in/dhrZH6SJ
Why do I use AnswerThis daily?
Because it allows me to do what real researchers should do:
Think, analyse, and create instead of endlessly searching, scrolling, and summarising.
It gives me back time.
And every researcher knows: time is your biggest currency.

Ever opened one research paper... and somehow ended up with a hundred PDFs in your download folder?

 If yes, you’re not alone. That’s where most researchers get stuck.
Not because they’re lazy.
 But because today’s research world isn’t about lack of information, it’s about overload.

The truth is, reading everything isn’t research.
 Connecting intelligently is.

Here’s what I teach my scholars 
Step 1: Map before you read.
 Use ResearchRabbit- visually maps how studies are connected, who cites whom, and where the gaps lie.
 Within minutes, you can see clusters of ideas instead of a chaotic list of PDFs.

Step 2: Extract meaning, not just text.
 Use SciSpace- it summarizes sections, highlights arguments, and shows trends, so you grasp the story behind the research instead of drowning in words.

Step 3: Build synthesis, not summaries.
 Feed your notes into NotebookLM- and ask it to compare author perspectives.
 This helps you develop your own narrative, that critical thinking part examiners love to call “synthesis.”

What used to take four weeks can now take just a few hours,
 without plagiarism, without shortcuts, and without skipping the thinking part.
AI doesn’t replace your research.

 It simply clears the clutter so you can focus on what truly matters, your insight. 
So the next time you feel buried under PDFs, remember:
 You don’t need more time.
 You just need the right system.

#AIinResearch #AcademicWriting #ResearchWorkflow #PhDLife #ThePhDCoach #AIforAcademia #LitReviewSimplified #ResearchTools

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